Tensor Decomposition

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Most implemented papers archive 2025-07-28

30 shown of 154 papers with code (618 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
  19 Dec 2014 10 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 9 pointer-only (licence)
  We propose a simple two-step approach for speeding up convolution layers within large convolutional neural networks based on tensor decomposition and discriminative fine-tuning.
• MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
  30 Sep 2022 4 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Knowledge graph embedding aims to predict the missing relations between entities in knowledge graphs.
• Canonical Tensor Decomposition for Knowledge Base Completion
  19 Jun 2018 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  The problem of Knowledge Base Completion can be framed as a 3rd-order binary tensor completion problem.
• When Are Nonconvex Problems Not Scary?
  21 Oct 2015 3 repositories listed
  In this note, we focus on smooth nonconvex optimization problems that obey: (1) all local minimizers are also global; and (2) around any saddle point or local maximizer, the objective has a negative directional…
• MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition
  5 Oct 2023 2 repositories listed
  Matrix models become insufficient when the hyperspectral image (HSI) is represented as a high-order tensor with additional features in a multimodal, multifeature framework.
• Multi-view Tensor Graph Neural Networks Through Reinforced Aggregation
  1 Apr 2023 2 repositories listed
  Specifically, RTGNN first uses tensor decomposition to extract the graph structure features (GSFs) of each view in the common feature space.
• PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
  29 Apr 2022 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  Meanwhile, the inference time grows log-linearly with the number of entities for all entities are traversed and compared.
• Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
  2 Mar 2022 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  Recently, Mixture-of-Experts (short as MoE) architecture has achieved remarkable success in increasing the model capacity of large-scale language models.
• KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
  9 Dec 2021 2 repositories listed
  Learning the embeddings of knowledge graphs (KG) is vital in artificial intelligence, and can benefit various downstream applications, such as recommendation and question answering.
• Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization
  28 Nov 2021 2 repositories listed
  Precision medicine is a clinical approach for disease prevention, detection and treatment, which considers each individual's genetic background, environment and lifestyle.
• Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
  27 Oct 2021 2 repositories listed
  Nonnegative Tucker decomposition (NTD), a tensor decomposition model, has received increased interest in the recent years because of its ability to blindly extract meaningful patterns, in particular in Music Information…
• Binarized Knowledge Graph Embeddings
  8 Feb 2019 2 repositories listed
  This limitation is expected to become more stringent as existing knowledge graphs, which are already huge, keep steadily growing in scale.
• Understanding Composition of Word Embeddings via Tensor Decomposition
  2 Feb 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Word embedding is a powerful tool in natural language processing.
• Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
  20 Dec 2017 2 repositories listed
  In this work, aiming at a general and comprehensive way for neural network acceleration, we develop a Wavelet-like Auto-Encoder (WAE) that decomposes the original input image into two low-resolution channels…
• Expressive power of recurrent neural networks
  2 Nov 2017 2 repositories listed
  In this paper, we prove the expressive power theorem (an exponential lower bound on the width of the equivalent shallow network) for a class of recurrent neural networks -- ones that correspond to the Tensor Train (TT)…
• Convolutional neural networks with low-rank regularization
  19 Nov 2015 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Recently, tensor decompositions have been used for speeding up CNNs.
• Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
  29 May 2025 1 repository listed
  In this work, we revisit CP tensor decomposition from a statistical perspective and provide a comprehensive theoretical analysis of ALS under a signal-plus-noise model.
• D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
  1 May 2025 1 repository listed
  Our proposed method has the following properties: (a) Interpretable: it incorporates the partial differential equation into a tensor decomposition framework and captures time-varying temporal patterns such as trends,…
• Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing
  17 Apr 2025 1 repository listed
  Unlike other tensor decomposition methods in the literature, MTS is not introduced as a network compression tool; instead, as a new backbone neural layer.
• Knowledge Graph Completion with Mixed Geometry Tensor Factorization
  3 Apr 2025 1 repository listed
  In this paper, we propose a new geometric approach for knowledge graph completion via low rank tensor approximation.
• Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
  24 Mar 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In this paper, we propose to tune the large pre-trained transformers by learning a small set of combination coefficients that construct a more expressive filter subspace from the original multi-head attention maps.
• Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
  26 Jan 2025 1 repository listed
  Specifically, we develop a deterministic tensor completion theory and introduce the Temporal Convolutional Tensor Nuclear Norm (TCTNN) model.
• High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
  24 Dec 2024 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  The ICT decomposition and a basis of this equivariant space are difficult to obtain for high-rank tensors.
• Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
  13 Dec 2024 1 repository listed
  In this paper, we tackle the challenge of predicting stock movements in financial markets by introducing Higher Order Transformers, a novel architecture designed for processing multivariate time-series data.
• Learning Parameter Sharing with Tensor Decompositions and Sparsity
  14 Nov 2024 1 repository listed
  Large neural networks achieve remarkable performance, but their size hinders deployment on resource-constrained devices.
• Activation Map Compression through Tensor Decomposition for Deep Learning
  10 Nov 2024 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  Internet of Things and Deep Learning are synergetically and exponentially growing industrial fields with a massive call for their unification into a common framework called Edge AI.
• Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
  10 Nov 2024 1 repository listed Syntology ran 3 of 7 samples · 4 unverified
  In contrast to much of the previous work, we scale up the parameters of the student model during training, to benefit from overparameterization without increasing the inference latency.
• Low-Rank Tensors for Multi-Dimensional Markov Models
  4 Nov 2024 1 repository listed
  Inspired by the success of these matrix techniques, we present low-rank tensors for representing transition probabilities on multi-dimensional state spaces.
• QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models
  14 Oct 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified
  Convolutional neural networks (CNNs) have made significant advances in computer vision tasks, yet their high inference times and latency often limit real-world applicability.
• Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decomposition
  3 Oct 2024 1 repository listed
  The promising results show that the integration of TDA, ML, and low-rank approximation methods is a successful approach for brain tumor identification and categorization, providing a solid foundation for further study…

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.